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Solutions / Security
Govern every AI actor your org runs.
Tallin is the runtime control plane for AI use across your org. Route AI through it and the humans, apps, and agents reaching AI become accountable: each one tied to an owner, held to an approved model scope, governed by policy, written to an audit trail, and reachable by a kill switch. Simulate policy in shadow mode before you enforce, and keep an honest view of sanctioned, inferred, enforced, and uncovered usage.
Security workflows
Own the actor. Then budget the spend, restrict the model, and reach the kill switch when you need it.
The goal is not to block useful AI work. It is to give every actor an owner and a scope, control the highest-risk paths in the request path, and keep the evidence to prove it.
- Discover
- Use SSO, CASB, SSE, SIEM, expense, and provider telemetry to discover which humans, apps, and agents are reaching AI, sanctioned and unsanctioned alike.
- Attribute + cap
- Route AI through Tallin to attribute every request to an owner, cap runaway agent spend, and restrict which models each actor can reach.
- Kill switch
- Disable a misbehaving actor's Tallin-mediated model access, and use access restrictions, provider admin controls, and gateway routing where available.
- Simulate + prove
- Simulate a policy in shadow mode before you enforce it, and keep the audit evidence to prove it, without claiming Tallin sees every prompt or device.
Sources grouped by how buyers think.
no endpoint agents to installShadow AI discovery
Find every AI actor, agents included, through systems you already own.
Tallin reads managed identity, network, CASB, SSE, and log-warehouse metadata to show which humans, apps, and agents reached AI services from company-controlled paths. It does not need prompt text to identify that a managed user reached claude.ai, chatgpt.com, Perplexity, Runway, or another AI app. Gartner projects 150,000+ AI agents per Fortune 500 by 2028, yet only 13% of teams feel adequately governed. These agents spend and act unattended. Discovery is where you bring them into scope before they do.
Gateway trust
In-path control needs a clear line on what gets stored.
Tallin controls the AI traffic routed through it, applying per-actor policy and budget while the request is happening. Security teams can choose metadata-only gateway capture for sensitive developer or app traffic: the ledger still records who used what, when, how much, and which policy applied, while stored prompt content stays off. Direct provider calls made outside Tallin and tool or MCP execution side effects are reported as Not Covered, never silenced. For banks, hospitals, and other regulated teams, the gateway can run in your own VPC so content stays local.
Trust posture
Choose what Tallin stores.
Operational trail only
Provider, model, cost, timing, user, route, and policy result. No stored prompt or response body.
Deeper evidence
Content audit can support deeper review, bounded by capture limits and tenant encryption.
Put a control plane behind your AI policy.
Make every AI actor accountable to an owner, a spend budget, an approved model scope, and a kill switch, then hand the proof to your board, your auditor, and the DDQ.